Outsource image annotation services
To enable AI applications to recognize objects as humans do, it is important to feed them with training data where each object is precisely labeled. However, accurately labeling a large volume of images is complex, cumbersome, and time-taking. This is where our image annotation services help. Over the years, we have been providing image tagging and annotation services to support our clients across various industries by accurately training their computer vision models and meeting their goals.
As a leading image annotation company, we have a team of qualified and skilled data annotators to accurately label your images and deliver a high-quality training dataset. Our team operates on all types of images (2D and 3D) and delivers accurate outcomes within a quick turnaround time. Regardless of how complex your datasets are, our image labeling services deploy top image annotation techniques that ensure precise and reliable outcomes.
Discover how our image annotation services helped a client build a high-quality training dataset for a smart parking application.
Our image annotation and labeling service offerings
As one of the most prominent providers of image annotation services in India, our team can quickly provide accurate datasets for training your computer vision models using a variety of image annotation techniques, including the following.
2D/3D Bounding Box & Annotation
To enable your AI model to detect objects in pictures, our image annotation company employs 2D & 3D bounding box annotation techniques for various industries and use cases like robotics, self-driven vehicles, eCommerce & retail, agrotech, healthcare, and others. Our experts draw bounding boxes over objects of interest in the images and label them accurately to feed your machine-learning models with the right training data.
Semantic Segmentation
Our image annotation experts use the semantic segmentation technique to perform pixel-level classification and label image elements with relevant information. We use this approach for segmenting the objects in an image with high accuracy. We can tag elements in your provided images for various applications such as navigation for autonomous vehicles, detecting specific crop types, differentiating healthy cells from tumor cells, etc.
Polygons Annotation
As 2D & 3D bounding boxes fail to annotate objects with irregular shapes, our annotators use the polygon annotation technique to mark the exact borders of the image elements, regardless of their shape or size. Our professionals carefully plot points on objects vertices (covering exact edges) and label them accurately. Polygon image annotation services are used in labeling road sign boards, buildings, trees, human postures in sports, logos, animals, and more.
Keypoint/landmark Annotation
With the landmark annotation technique, we train your models to detect minute shapes and sizes in any image by plotting and connecting sequential dots at specific locations. Using this technique, our image labeling company creates accurate datasets that can teach deep-learning models to identify postures in athletes for enhanced sports analytics, recognize facial expressions, skeletal features, emotions, & gestures, and track movements of a human body.
Line & Polyline Annotation
To annotate regions like boundaries, where the bounding box and other techniques fail, our image annotation company can accurately define and label the boundaries using line & polyline annotation. This technique enables the ML model to identify linear structures. We use this technique to train robots to recognize differences between parts of a conveyor belt or for autonomous vehicles to recognize lanes.
Image annotation services for different industries and use cases
Our image annotation company can label a variety of images, based on your specific use case or industry needs, including but not limited to:
Security & surveillance
Allows security cameras to accurately identify people & objects in the images for threat detection and investigation.
Healthcare
Allows the detection of diseases & anomalies in medical imaging data (X-rays, CT scans, MRI, or ultrasound).
eCommerce & retail
Enhances product search & discovery, improving visual search capabilities & enabling personalized recommendations.
Autonomous driving
Enables autonomous vehicles to detect objects, cars, trees, traffic lights, debris, animals, etc., on the streets.
Agriculture
Helps farmers to analyze soil conditions, diagnose crop diseases, and monitor the health & growth of plants.
Drones
Enable drones to identify. map, and follow objects of their interest in aerial images, such as people, animals, buildings, etc
